Liutong Xu
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Topics
- Topic Modeling (8 papers)Distributed and Parallel Computing Systems (8 papers)Cloud Computing and Resource Management (7 papers)
- Journals
- Software Engineering and Knowledge EngineeringIOP Conference Series Materials Science and EngineeringDEStech Transactions on Computer Science and Engineering
- Partner nations
- China
In The Last Decade
Liutong Xu
26 papers receiving 243 citations
Peers
Comparison fields: 5 of 56
- Statistical and Nonlinear Physics 130
- Artificial Intelligence 118
- Information Systems 81
- Computer Networks and Communications 63
- Computer Vision and Pattern Recognition 44
Countries citing papers authored by Liutong Xu
This map shows the geographic impact of Liutong Xu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Liutong Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liutong Xu more than expected).
Fields of papers citing papers by Liutong Xu
This network shows the impact of papers produced by Liutong Xu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Liutong Xu. The network helps show where Liutong Xu may publish in the future.
Co-authorship network of co-authors of Liutong Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Liutong Xu. A scholar is included among the top collaborators of Liutong Xu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liutong Xu. Liutong Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Combined Model for Extractive and Abstractive summarization based on Transformer model. | 2 |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | A fast distributed stochastic Gradient Descent algorithm for matrix factorization | 14 |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 0 | |
| 20 | 1 |
About Liutong Xu
Liutong Xu is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 30 papers that have together received 263 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Distributed and Parallel Computing Systems (8 papers) and Cloud Computing and Resource Management (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (130 citations), Artificial Intelligence (118 citations) and Information Systems (81 citations). Liutong Xu has collaborated with scholars based in China. Frequent co-authors include Bai Wang, Bin Wu, Xin Pei, Nan Du, Pengfei Wang, Fanglin Li, Jing Shi, Chuan Shi, Wu Liu and Jiafeng Guo. Their work appears in journals such as Software Engineering and Knowledge Engineering, IOP Conference Series Materials Science and Engineering and DEStech Transactions on Computer Science and Engineering.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.